Paper
23 June 2003 Fast method of segmentation and indexing MPEG1-2 flow
Lionel Brunel, Pierre Mathieu
Author Affiliations +
Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503129
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland
Abstract
Multimedia data accessibility depends on a precise indexing, involving a computational cost. This paper proposes a new fast method of segmentation and indexing in order to fill out in an automatic way several MPEG7 fields (e.g. camera and objects movement). In order to accelerate segmentation process, we exploit most of the information contained in MPEG1-2 flow; the decompression is restricted to entropic decoding and inverse quantization, the estimation of the camera movement is obtained from MPEG1-2 motion prediction. Segmentation in homogeneous color zones is obtained by a "split and merge" algorithm improved by a B-Splines active contour segmentation regularization.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lionel Brunel and Pierre Mathieu "Fast method of segmentation and indexing MPEG1-2 flow", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503129
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KEYWORDS
Motion estimation

Image segmentation

Cameras

Zoom lenses

Error analysis

Multimedia

Quantization

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